Evidence map›Paper›PMID 34499135›Full record

Trial reportJAMA network open2021

Effect of a Telecare Case Management Program for Older Adults Who Are Homebound During the COVID-19 Pandemic: A Pilot Randomized Clinical Trial.

Arkers Kwan Ching Wong, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Paul Hong Lee

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04304989 (Effects of a Video-based mHealth Program for the Homebound Older Adults), which is not on this map. Cited by 24 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 7 pooled it
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04304989 nacompletednot on this map

Effects of a Video-based mHealth Program for the Homebound Older Adults: A Pilot Randomized Controlled Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2020 to 2020Enrolled68ConditionsMobile Health, Older AdultArmsmHealth program, usual care
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 7 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Arkers Kwan Ching WongSchool of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Frances Kam Yuet WongSchool of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Karen Kit Sum ChowThe Hong Kong Lutheran Social Service, Homantin, Hong Kong.
Siu Man WongThe Hong Kong Lutheran Social Service, Homantin, Hong Kong.
Paul Hong LeeDepartment of Health Sciences, University of Leicester, Leicester, United Kingdom.
Hong Kong Polytechnic University · HKThe Hong Kong Council of Social Service · CNUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Older adults who are homebound can be difficult to reach owing to their functional limitations and social distancing during the COVID-19 pandemic, leaving their health needs unrecognized at an earlier stage. Objective: To determine the effectiveness of a telecare case management program for older adults who are homebound during the COVID-19 pandemic. Design, Setting, and Participants: This randomized clinical trial was conducted among 68 older adults in Hong Kong from May 21 to July 20, 2020, with a last follow-up date of October 20, 2020. Inclusion criteria were being 60 years or older, owning a smartphone, and going outside less than once a week in the previous 6 months. Interventions: Participants in the telecare group received weekly case management from a nurse supported by a social service team via telephone call and weekly video messages covering self-care topics delivered via smartphone for 3 months. Participants in the control group received monthly social telephone calls. Main Outcomes and Measures: The primary outcome was the change in general self-efficacy from before the intervention to after the intervention at 3 months. Self-efficacy was measured by the Chinese version of the 10-item, 4-point General Self-efficacy Scale, with higher scores representing higher self-efficacy levels. Analysis was performed on an intention-to-treat basis. Results: A total of 68 participants who fulfilled the criteria were enrolled (34 in the control group and 34 in the intervention group; 56 [82.4%] were women; and mean [SD] age, 71.8 [6.1] years). At 3 months, there was no statistical difference in self-efficacy between the telecare group and the control group. Scores for self-efficacy improved in both groups (β = 1.68; 95% CI, -0.68 to 4.03; P = .16). No significant differences were found in basic and instrumental activities of daily living, depression, and use of health care services. However, the telecare group showed statistically significant interactions of group and time effects on medication adherence (β = -8.30; 95% CI, -13.14 to -3.47; P = .001) and quality of life (physical component score: β = 4.99; 95% CI, 0.29-9.69; P = .04). Conclusions and Relevance: In this randomized clinical trial, participants who received the telecare program were statistically no different from the control group with respect to changes in self-efficacy, although scores in both groups improved. After the intervention, the telecare group had better medication adherence and quality of life than the control group, although the small sample size may limit generalizability. A large-scale study is needed to confirm these results. Trial Registration: ClinicalTrials.gov Identifier: NCT04304989.

Indexed as

Case ManagementSelf EfficacyActivities of Daily LivingAgedAged, 80 and overCase ManagersCOVID-19DepressionDrug MonitoringFemaleHomebound PersonsHong KongHumansMaleNursesPilot Projects

Identifiers

PMID34499135
PMCPMC8430449
OpenAlexW3196603847

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.